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Inequalities in access to diabetes technologies in children with Type 1 diabetes: a multicenter, cross-sectional study from Türkiye

dc.contributor.coauthorKarakus K.E.
dc.contributor.coauthorYıldırım, R.
dc.contributor.coauthorÖzalkak, Ş.
dc.contributor.coauthorÖzbek, M.N.
dc.contributor.coauthorYıldırım, N.
dc.contributor.coauthorDelibağ, G.
dc.contributor.coauthorEklioğlu, B.S.
dc.contributor.coauthorHaliloğlu, B.
dc.contributor.coauthorAydın, M.
dc.contributor.coauthorKırmızıbekmez, H
dc.contributor.departmentKUH (Koç University Hospital)
dc.contributor.departmentSchool of Medicine
dc.contributor.kuauthorCan, Ecem
dc.contributor.kuauthorEviz, Elif
dc.contributor.kuauthorGökçe, Tuğba
dc.contributor.kuauthorHatun, Şükrü
dc.contributor.kuauthorSakarya, Sibel
dc.contributor.kuauthorYeşiltepe Mutlu, Rahime Gül
dc.contributor.schoolcollegeinstituteKUH (KOÇ UNIVERSITY HOSPITAL)
dc.contributor.schoolcollegeinstituteSCHOOL OF MEDICINE
dc.date.accessioned2024-12-29T09:38:12Z
dc.date.issued2024
dc.description.abstractObjective: To determine inequalities in access to diabetes technologies and the effect of socioeconomic factors on families with children with type 1 diabetes. Methods: In this multicenter cross-sectional study, parents of children with type 1 diabetes completed a questionnaire about household sociodemographic characteristics, latest HbA1c values, continuous glucose monitoring (CGM) and insulin pump use of children, the education and working status of parents. These characteristics were compared between technology use (only-CGM, only-pump, CGM+pump, no technology use). Results: Among 882 families, only-CGM users, only-pump users, and CGM+pump users compared with no technology users, adjusting for age, sex, region, education levels, number of working parents, and household income. Children living in the least developed region had lower odds of having only-CGM (OR=0.20, 95%CI 0.12-0.34) and having CGM+pump (OR=0.07, 95%CI 0.03-0.22) compared with those living in the most developed region. Children with parents who had not finished high school had lower odds of having only-CGM (Mothers: OR=0.36, 95%CI 0.19-0.66; fathers: OR=0.32, 95%CI 0.18-0.60) or both CGM+pump (OR=0.27, 95%CI 0.11-0.64; fathers: OR=0.34, 95%CI 0.15-0.79) rather than no-technology compared to children whose parents has a university degree. Every $840 increase in the household income increased the odds by 5% for having only-CGM (OR=1.05, 95%CI 1.02-1.09) and CGM+pump (OR=1.05, 95%CI 1.01-1.08). Conclusion: Socioeconomic factors such as education, regions, and income were associated with inequality in access to technologies. The inequalities are more prominent in access to CGM while CGM had a bigger contribution to glycemic control.
dc.description.indexedbyPubMed
dc.description.publisherscopeNational
dc.description.sponsoredbyTubitakEuN/A
dc.identifier.doi10.4274/jcrpe.galenos.2024.2024-4-6
dc.identifier.eissn1308-5735
dc.identifier.issn1308-5727
dc.identifier.quartileQ2
dc.identifier.urihttps://doi.org/10.4274/jcrpe.galenos.2024.2024-4-6
dc.identifier.urihttps://hdl.handle.net/20.500.14288/22594
dc.keywordsContinuous glucose monitoring
dc.keywordsInequality
dc.keywordsTechnology
dc.keywordsType 1 diabetes
dc.language.isoeng
dc.publisherGalenos Yayınevi
dc.relation.ispartofJournal of Clinical Research in Pediatric Endocrinology
dc.subjectEndocrinology and metabolism
dc.subjectPediatrics
dc.titleInequalities in access to diabetes technologies in children with Type 1 diabetes: a multicenter, cross-sectional study from Türkiye
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorSakarya, Sibel
local.contributor.kuauthorGökçe, Tuğba
local.contributor.kuauthorCan, Ecem
local.contributor.kuauthorEviz, Elif
local.contributor.kuauthorYeşiltepe Mutlu, Rahime Gül
local.contributor.kuauthorHatun, Şükrü
local.publication.orgunit1SCHOOL OF MEDICINE
local.publication.orgunit1KUH (KOÇ UNIVERSITY HOSPITAL)
local.publication.orgunit2KUH (Koç University Hospital)
local.publication.orgunit2School of Medicine
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relation.isOrgUnitOfPublicationd02929e1-2a70-44f0-ae17-7819f587bedd
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